Build resilient systems by breaking them. Learn to design and run chaos experiments using Gremlin and Chaos Mesh to prevent outages.
Hope is not a strategy. Chaos Engineering involves injecting controlled failure into systems to proactively identify weaknesses. This course teaches the scientific method of chaos: forming a hypothesis, running an experiment, and analyzing the blast radius. You will learn to simulate network latency, pod failures, and CPU spikes using tools like Gremlin and Chaos Mesh. Essential for SREs who want to ensure their systems survive the unpredictability of production.
Estimated completion time: 21 lessons • Self-paced learning • Lifetime access
Start in Staging, eventually move to Production.
We teach safety mechanisms like 'Big Red Buttons'.
Open source options (Chaos Mesh) are powerful.
Yes, usually defining experiments as code (YAML).
3 recommended paths based on what you're learning
Ready for the next chapter? Platform Engineering is where Chaos Engineering learners go next.
People who combine Chaos Engineering with Observability tend to stand out. Here's how.
AWS Q Developer can debug and optimize your cloud architecture. It's like having an assistant on speed dial.